A new end-user-oriented and dynamic approach to post-disaster resilience quantification for individual facilities.

Community recovery from a disaster is a complex process, in which the importance of different types of infrastructure functionality can change over time. Most of the myriad of metrics available for measuring disaster resilience do not capture the dynamic importance of functionality explicitly, however. This means that very different recovery trajectories of a given infrastructure can correspond to the same resilience value, regardless of variations in its utility over time. While some efforts have been made to integrate features of time dependency into individual facility resilience quantification, the resulting metrics either capture only a limited set of temporal instances throughout the post-disaster phase or do not offer a way to prioritize time steps in line with variations in the importance of facility functionality. This study proposes a novel, straightforward metric for component-level post-disaster resilience quantification that overcomes the aforementioned limitations. The metric involves a dynamic weighting component that enables stakeholders to place varying emphasis on different temporal points throughout the recovery process. The end-user-centered approach to resilience quantification facilitated by the metric allows for flexible, context-specific interpretations of infrastructure functionality importance that may vary across different communities. The metric is demonstrated through a hypothetical case study of infrastructure facilities with varying degrees of importance across the post-disaster recovery period, which showcases its versatility relative to a previously well-established measurement of component-level resilience. The proposed metric has significant potential for use in stakeholder-driven approaches to decision making on critical infrastructure (as well as other types of built environment) recovery and resilience.

Islamic faith-based organisations and their role in building social capital for post-disaster recovery in Indonesia.

This paper investigates the role of Islamic faith-based organisations (FBOs) in Indonesia and examines the way in which their disaster recovery aid can be successful or less successful depending on social capital formation in communities affected by a disaster. The paper argues that Islamic FBOs play a prominent role in disaster-affected communities by building new social capital or strengthening existing social capital. Failure to do so may affect a community's recovery and its long-term resilience. Applying a framework that considers three types of social capital-bonding, bridging, and linking-from a comparative perspective, the paper discusses two cases of disaster recovery: one following the earthquake that struck Aceh in 2013; and the other after the Mount Kelud volcanic eruptions in East Java in 2014. In both instances, the findings highlight the importance of the village facilitator, cultural sensitivity, and understanding of local indigenous and religious practices for successful disaster recovery.

Quantifying social capital creation in post-disaster recovery aid in Indonesia: methodological innovation by an AI-based language model.

Smooth interaction with a disaster-affected community can create and strengthen its social capital, leading to greater effectiveness in the provision of successful post-disaster recovery aid. To understand the relationship between the types of interaction, the strength of social capital generated, and the provision of successful post-disaster recovery aid, intricate ethnographic qualitative research is required, but it is likely to remain illustrative because it is based, at least to some degree, on the researcher's intuition. This paper thus offers an innovative research method employing a quantitative artificial intelligence (AI)-based language model, which allows researchers to re-examine data, thereby validating the findings of the qualitative research, and to glean additional insights that might otherwise have been missed. This paper argues that well-connected personnel and religiously-based communal activities help to enhance social capital by bonding within a community and linking to outside agencies and that mixed methods, based on the AI-based language model, effectively strengthen text-based qualitative research.

Reliability and Detectability of Emergency Management Systems in Smart Cities under Common Cause Failures.

Urban areas are undergoing significant changes with the rise of smart cities, with technology transforming how cities develop through enhanced connectivity and data-driven services. However, these advancements also bring new challenges, especially in dealing with urban emergencies that can disrupt city life and infrastructure. The emergency management systems have become crucial elements for enabling cities to better handle urban emergencies, although ensuring the reliability and detectability of such system remains critical. This article introduces a new method to perform reliability and detectability assessments. By using Fault Tree Markov chain models, this article evaluates their performance under extreme conditions, providing valuable insights for designing and operating urban emergency systems. These analyses fill a gap in the existing research, offering a comprehensive understanding of emergency management systems functionality in complex urban settings.

Prioritized reconstruction of healthcare facilities after earthquakes based on recovery of emergency services.

Earthquakes can disrupt the healthcare system heavily, leading to long wait times and many untreated patients for years after the event. Emergency services, in particular, must return to preearthquake functionality as soon as possible such that patients, especially critically injured ones, can be treated promptly. However, reconstruction and restoration of emergency services can take years. Due to limited reconstruction resources, decision-makers cannot reconstruct all hospitals simultaneously. They are typically forced to prioritize the reconstruction order, and this process is often poorly planned. This article models emergency services as an M/M/s queuing system that accounts for prioritized treatment of critical patients and formulates a greedy algorithm to plan for an effective healthcare system reconstruction. The algorithm finds the reconstruction ordering of hospital buildings such that emergency patients have the shortest time to receiving medical care possible. We show our greedy algorithm's good performance for small problem instances, with average deviations from the optimal solution below 16%. Further, we apply our methodology to a case study of Lima, Peru, under a hypothetical M8.0 earthquake. The application demonstrates that compared to typically implemented policies, a policy guided by our formulation results in shorter time to treatment and reduces the number of untreated patients over the course of the reconstruction period by more than a factor of 3 in a worst-case scenario with 70% hospital capacity disruption. Finally, we demonstrate that our formulation can be integrated into risk analysis through Monte Carlo simulations to inform decision-makers of reconstruction plans after future earthquakes.

Rethinking disaster utopia: the limits of conspicuous resilience for community-based recovery and adaptation.

While some communities appear to blossom in the wake of a disaster, others are left to struggle in the ashes. This paper introduces the concept of 'conspicuous resilience' to understand how emergent community-based recovery efforts privilege some needs while marginalising others, contributing to uneven forms of recovery. Drawing on a qualitative case study of the deadly Montecito debris flow in Southern California, United States, in January 2018, an in-depth examination of emergent community-based resilience efforts is gauged next to the social construction of unmet needs. Conspicuous acts of resilience centred around gaps in social and financial support as well as desires for protection from future debris flows. In defining and addressing needs, community-based interventions mirrored existing social inequalities and uneven relationships of power, promoting a false sense of equality and security while reinforcing private interests. To address the limits of conspicuous resilience, a justice-oriented politics of disaster recovery is needed.

Psychological First Aid principles within a community-led arts initiative: lessons from the Blacksmiths' Tree.

Psychological First Aid (PFA) is widely used in the early phases of disaster recovery, despite limited empirical evidence supporting its application. PFA aims to reduce distress and encourage adaptive coping and is grounded in five principles: the promotion of hope, self- and collective efficacy, social connectedness, safety, and calm. Drawing on a constructivist perspective, this study analysed interview transcripts from Forged from Fire: The Making of the Blacksmiths' Tree, a documentary film about a community-led arts project initiated after the 2009 bushfires in Victoria, Australia. Using a reflexive process that employed deductive and inductive coding, the research investigated the presence of PFA principles in participants' experiences of the Blacksmiths' Tree project and whether themes not accounted for by PFA were also salient. The findings supported the PFA principles and generated two additional themes: grassroots and community leadership; and healing through creation and expression. The implications for disaster recovery in community settings are also presented.

Local news sentiment towards FEMA recovery efforts after Hurricane Florence in North Carolina.

Newspaper sentiment and framing have the power to represent and inform public opinion on a variety of important issues. This study examines local news articles after Hurricane Florence struck North Carolina in the United States in September 2018 to understand the framing efforts undertaken by the outlets that produced these reports, as well as their impact on news sentiment towards the flood recovery efforts of the Federal Emergency Management Agency (FEMA). The results indicate that while most articles published in the wake of Florence have a neutral sentiment, there are a significant number of both positively and negatively coded articles that illuminate important information about how the public engaged with and comprehended the role of FEMA during recovery from the disaster, and how the media chose to cover its involvement. Such scrutiny will continue to inform how public, private, and government actors understand FEMA's role and whether it achieves its goals in the future.

"Upheaval": Unpacking the dynamic balance between place attachment and social capital in disaster recovery.

A growing body of literature demonstrates that both place attachment and social capital play considerable, and likely interdependent, roles in disaster recovery. This paper contributes to our understanding of these constructs by presenting findings from a longitudinal, mixed-methods study of communities impacted by a home buyout program implemented in New York after Hurricane Sandy (N = 111). Results suggest a dynamic balance between place dependence, place identity, and bonding social capital, in which the relative importance of each construct can shift over time, and where losses in one of these areas may lead to cascading losses in the other areas. For buyout participants, increases in place dependence were associated with increases in bonding social capital, indicating that relocatees either regained both place dependence and bonding social capital in their new homes and communities, or they lost and did not regain both, depending on whether their new home and community met their emotional and functional needs sufficiently. For residents who remained in place, higher levels of place dependence were associated with losses in bonding social capital, reflecting the potential consequences of living in postdisaster limbo. Implications for future buyout research, policy, and practice are discussed.

Ten Takeaways from the COVID-19 Pandemic for Transportation Planners.

The COVID-19 pandemic has created significant challenges but also unprecedented opportunities for transportation researchers and practitioners. In this article, the major lessons and gaps in knowledge for those working in the transportation sector are identified, including the following: (1) integration between public health and transportation; (2) technology to support contact tracing and tracking of travelers; (3) focus on vulnerable, at-risk operators, patrons, and underserved members of society; (4) re-engineering of travel demand models to support social distancing, quarantine, and public health interventions; (5) challenges with Big Data and information technologies; (6) trust relationships between the general public, government, private sector, and others in disaster management; (7) conflict management during disasters; (8) complexities of transdisciplinary knowledge and engagement; (9) demands for training and education; and (10) transformative change to support community resilience. With a focus on transportation planning and community resilience, the lessons from the pandemic need to be shared and customized for different systems, services, modalities, and users. While many of the interventions during the pandemic have been based on public health, the management, response, recovery, adaptation, and transformation of transportation systems resulting from the crisis require multi-disciplinary, multi-jurisdictional communications and coordination, and resource sharing. Further research to support knowledge to action is needed.

Global health governance and disaster recovery for rebel returnees during COVID-19.

This article highlights the need for governing some gradual ruptures from the past to achieve a sense of new normalcy in public health. The rebel returnees during the pandemic form a case of a vulnerable group who triply experience disasters: from the pandemic and natural disasters to terrorism. Global health governance carries on the management of past problems attaining their maturation and faces new ones for disaster recovery.

A scoping review of strategies to support public health recovery in the transition to a "new normal" in the age of COVID-19.

BACKGROUND: During the COVID-19 pandemic, the public health workforce has experienced re-deployment from core functions such as health promotion, disease prevention, and health protection, to preventing and tracking the spread of COVID-19. With continued pandemic deployment coupled with the exacerbation of existing health disparities due to the pandemic, public health systems need to re-start the delivery of core public health programming alongside COVID-19 activities. The purpose of this scoping review was to identify strategies that support the re-integration of core public health programming alongside ongoing pandemic or emergency response. METHODS: The Joanna Briggs Institute methodology for scoping reviews was used to guide this study. A comprehensive search was conducted using: a) online databases, b) grey literature, c) content experts to identify additional references, and d) searching reference lists of pertinent studies. All references were screened by two team members. References were included that met the following criteria: a) involved public health organizations (local, regional, national, and international); b) provided descriptions of strategies to support adaptation or delivery of routine public health measures alongside disaster response; and c) quantitative, qualitative, or descriptive designs. No restrictions were placed on language, publication status, publication date, or outcomes. Data on study characteristics, intervention/strategy, and key findings were independently extracted by two team members. Emergent themes were established through independent inductive analysis by two team members. RESULTS: Of 44,087 records identified, 17 studies were included in the review. Study designs of included studies varied: descriptive (n = 8); qualitative (n = 4); mixed-methods (n = 2); cross-sectional (n = 1); case report (n = 1); single-group pretest/post-test design (n = 1). Included studies were from North America (n = 10), Africa (n = 4), and Asia (n = 3) and addressed various public health disasters including natural disasters (n = 9), infectious disease epidemics (n = 5), armed conflict (n = 2) and hazardous material disasters (n = 1). Five emergent themes were identified on strategies to support the re-integration of core public health services: a) community engagement, b) community assessment, c) collaborative partnerships and coordination, d) workforce capacity development and allocation, and e) funding/resource enhancement. CONCLUSION: Emergent themes from this study can be used by public health organizations as a beginning understanding of strategies that can support the re-introduction of essential public health services and programs in COVID-19 recovery.

Disaster Recovery Communication in the Digital Era: Social Media and the 2016 Southern Louisiana Flood.

This study explores disaster recovery communication in the digital era. In particular, this study analyzes Twitter communication data corresponding to the 2016 Southern Louisiana flood recovery process and examines patterns and characteristics of long-term recovery communication. Based on network and sentiment analyses of the longitudinal Twitter data, the study identifies the dynamic changes in participants' numbers, dominant voices, and sentiments in social media communication during the long-term recovery process. From the additional content analysis of relevant news articles, in-depth contextual information is provided to support and supplement the findings. Findings show the weaning communication volume during the recovery phase, lacking local voices over the long-term recovery communication process, and prolonging negative sentiments over the recovery period. Based on the findings, the authors provide implications highlighting the need for investing in long-term recovery communication, better utilizing information from social media, and supporting local voices during disaster recovery.

Social entrepreneurship, co-production, and post-disaster recovery.

Post-disaster recovery requires co-production; that is, the inputs of citizens are essential for successful community recovery to occur. Citizens contribute to post-disaster recovery by volunteering, taking on consultative and decision-making roles within their communities, and directly participating in post-disaster reconstruction efforts. Without meaning ful contributions from citizens-the intended beneficiaries-unilateral efforts by public officials and authorities will inevitably fail. This study shows that social entrepreneurs can thus play a critical role in spurring post-disaster recovery by facilitating co-production. It focuses on the role of social entrepreneurs after disasters and centres on one rural village, Giranchaur Namuna Basti in the Sindhupalchowk District of Nepal. Specifically, the study uses the case of the Dhurmus Suntali Foundation's Namuna village project in Giranchaur following the 7.8-magnitude earthquake that struck on 25 April 2015 to examine the pivotal role that social entrepreneurs assume in promoting voluntary activities, community engagement, and participation in post-disaster recovery efforts.

Entrepreneurship during a pandemic.

Commercial and social entrepreneurs are likely to help communities combat public health crises. Research on responses to pandemics has underappreciated the critical role of entrepreneurs. In the context of post-disaster response and recovery, entrepreneurs provide needed goods and services, repair and rebuild disrupted social networks, and can act as focal points for disaster survivors as they develop their plans to rebuild. During a pandemic, entrepreneurs perform similarly important economic and social functions. This article highlights these functions, including (1) providing the goods needed to survive and combat the pandemic, (2) performing the services needed so that people can stay productive and connected during the pandemic, and (3) acting as a source of community support and leadership. It also discusses how entrepreneurs are able to perform these roles despite operating in an environment that constricts the range and nature of entrepreneurial activity. Finally, this article describes a legal regime that will promote entrepreneurship during a pandemic.

Types of coastlines and the evacuees' mental health: A repeated cross-sectional study in Northeast Japan.

Although the health risks and benefits of coastal areas have long been researched, these effects of the different types of coastlines have rarely been explored on the evacuees living near the coast, in a post-disaster context. Thus, this study aimed to explore, with the passing of years after a disaster, what kind of coastline is a useful public health resource as a post-disaster reconstruction approach in coastal environments that have suffered significantly from the tsunami disaster in northeast Japan in 2011. This study compared the evacuees' mental health based on proximity to the coast and the types of coastlines (artificial, semi-natural, and natural). Data were drawn from the Miyagi Prefectural Government surveys, which targeted almost all evacuees of the 2011 Great East Japan Earthquakes and Tsunami (n = 96,203). We applied a pooled Poisson regression model to a repeated cross-sectional dataset of evacuees' mental health between 2012 and 2016. Moderate psychological distress, measured via the Kessler Psychological Distress Scale (K6) score, was the dependent variable, while proximity to the coast and type of coastline were the independent variables. The estimated main effects of type of coastline indicated that overall associations between K6 ≥5 and all types of coastlines within a 1.6 km buffer of participants' residential space were not statistically significant (p > 0.05). However, among types of coastlines, the interaction terms of semi-natural coastline × year (2015 and 2016) were significantly associated with lower incidence rate ratios (IRR), which decreased in 2015 and 2016 (IRR: 0.88, 95%CI: 0.79-0.98; IRR: 0.78, 95%CI: 0.68-0.90, respectively). Further, we computed the marginal effects of coastline types for each year to observe differences in the impact on moderate psychological distress depending on different accessible coastline types within a distance of 1.6 km from the participants' living space. We found that, after the revision of the coastal act in 2014, the moderate mental stress of participants who lived around semi-natural coastlines significantly tended to be low (dy/dx: -0.04, 95%CI: -0.08-0.01 in 2015; dy/dx: -0.07, 95%CI: -0.11-0.04 in 2016). This finding can encourage policymakers to manage coastal areas with green infrastructure in the post-disaster reconstruction sustainably.

Reopening businesses after Hurricane Harvey: evidence from a duration model with spatial effects.

Post-disaster business return is key to restoring the local economy. This paper applies a duration model to analyse factors that explain the delay in reopening a business in south Texas, United States, after Hurricane Harvey struck the region in August 2017. Other than property damage, the duration of business closure depended on the type of business and the various characteristics of its owner. Reflecting the vital role that social capital plays in disaster resilience, local chamber of commerce members tended to reopen their businesses sooner than their non-member counterparts. Yet, there is evidence in support of the vulnerability of female chamber members. In addition to social networks, the finding of spatial interdependence implies that the decision of business owners to resume operations in the wake of a disaster is influenced by the decisions of their neighbours. Spatial interdependence also highlights the importance of providing disaster relief to businesses in a timely manner.

Paired assistance policy and recovery from the 2008 Wenchuan earthquake: a network perspective.

The role of the paired assistance policy (PAP) in facilitating recovery after the Wenchuan earthquake in China on 12 May 2008 is best analysed from a network perspective. This paper makes five assumptions to explore the relationship, and then draws on three additional cases to examine them. The key findings support all five assumptions. First, the interactions of authority compliance initiated the PAP, and second, the interactions of resource input significantly contributed to rapid reconstruction following the earthquake. Third, the interactions of knowledge transfer supported social system recovery, and fourth, the interactions of benefit reciprocity laid the foundation for sustainable recovery. Fifth, by contrast, the interactions of performance comparison caused suboptimal overfunding of particular public infrastructure projects and reduced local self-reliance to some extent. Finally, suggestions are made to improve the policy implications of extending the use of the PAP in other administrative contexts. The PAP could become an even more important policy device in the future.

PhotoKwento: co-constructing women's narratives of disaster recovery.

A recent appraisal of disaster studies undertaken over the past 40 years draws attention to the urgency of advancing different epistemologies that reflect local realities of disaster experiences and of developing appropriate instruments with which to do so. This paper argues that feminist methods and perspectives can contribute greatly to this important endeavour of promoting epistemic diversity in research on disasters, advancing approaches that engender the co-construction of knowledge, and consequently challenging the 'hegemonic' (and often gender-blind) narratives that dominate disaster studies today. Specifically, the paper makes a case for a feminist photo-based approach that I designed (PhotoKwento) to examine women's experiences of disaster recovery in Tacloban City, Philippines. It demonstrates how the technique fosters engaged research relationships and participatory knowledge construction practices pertaining to disaster experiences. In addition, it highlights the potential of PhotoKwento to embody the qualities of research that are necessary for the progress of disaster studies 'from below'.

Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations.

In this era, almost all healthcare workflows are digital and rely on robust institutional networks; a ransomware attack in a healthcare system can have catastrophic patient care consequences. The usual downtime processes in an institution might not address the breadth of this disruption and timelines for recovery. This article shares our lessons learned from ransomware recovery. From this experience, a four-phase recovery planning framework has been developed. The primary focus is on acute patient care, incident communication, and emergency imaging operations in the initial phase. In the next phase, continued digital asset unavailability necessitates a transition to long-term analog workflows. In the infrastructure recovery and reconciliation phases, each taking weeks or months, the emphasis is on rebuilding a ransomware-free environment and reconciling the data accrued during extended downtime. In preparation for future events, we have initiated a continuous readiness process. A response task force has been formed to guide physicians, technologists, nurses, and informatics units on recovery workflows appropriate for extended downtime and keeping these procedures updated. Incident command structure has been discussed for communications and resource allocation during a ransomware attack, possibly in the context of a multi-incident scenario such as that involving concurrent staffing shortage amidst a pandemic. Finally, we discuss considerations for tabletop simulation, which may be valuable to the planning process.